Deep learning applications to breast cancer detection by magnetic resonance imaging: a literature review

Adam, Richard, Kevin Dell’Aquila, Laura Hodges, Takouhie Maldjian, and Tim Q Duong. 2023. “Deep Learning Applications to Breast Cancer Detection by Magnetic Resonance Imaging: A Literature Review”. Breast Cancer Research 25 (1): 87.

Last updated on 10/26/2023

Recent Publications

Magnetic resonance imaging detection of deep gray matter iron deposition in multiple sclerosis: A systematic review
An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C)
Deep learning combining FDG-PET and neurocognitive data accurately predicts MCI conversion to Alzheimer s dementia 3-year post MCI diagnosis
Incidence of new-onset hypertension post—COVID-19: comparison with influenza
Machine learning prediction of pathological complete response and overall survival of breast cancer patients in an underserved inner-city population
Deep learning applications to breast cancer detection by magnetic resonance imaging: a literature review

Tim Q Duong, Ph.D.

Professor, Department of Radiology
Professor, Department of Biochemistry
Professor, Department of Ophthalmology & Visual Sciences
Professor, Dominick P. Purpura Department of Neuroscience
Vice Chair for Research Department of Radiology

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Montefiore Medical Center
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